AI / LLM.
Not demos — production features. Document extraction, assistants, smart automation, and retrieval over your own business data, built into the software you already run. The hard part of AI isn't calling the model; it's making the result reliable enough to trust with real business data: validation, guardrails, human review, cost control, and audit trails. That's the part I focus on.
Document extraction
Invoices, contracts, and forms read automatically into your system — hours of manual entry become minutes of review, with fewer errors.
Assistants & copilots
Chat and task assistants grounded in your data with strict guardrails — helpful answers, never invented ones.
Smart automation
Classification, routing, summarizing, drafting — repetitive judgment calls handled automatically, with human review exactly where it matters.
RAG over your data
Vector search and retrieval that lets AI answer from your documents and records — accurately, traceably, with sources shown.
If staff retype documents into systems, extraction almost always pays for itself within months.
Triage, categorization, first-draft responses — AI handles the bulk, people handle the edge cases.
When the answer exists somewhere in your files, retrieval-augmented search finds it in seconds.
Summarizing case histories, drafting in your tone, multilingual support on the fly — capabilities that simply didn't exist a few years ago.
AI features live inside the platform, not beside it: every model call runs through queues with retries, outputs are validated against business rules before touching your data, and every decision is logged so you can always answer 'why did it do that?'
With the right architecture, yes: validation before writes, human review for low-confidence cases, EU data processing options, and full audit trails. Trust is designed, not assumed.
Typically far less than the manual work it replaces — extraction often runs at cents per document. I build cost monitoring in, so there are no surprise bills.
Not if it's built right: grounding in your data, strict output schemas, and 'I don't know' as an allowed answer beat any clever prompt.
In my work
My AI work ships inside Laravel platforms with validation, cost caps, and audit trails — hours of manual document entry turned into minutes of review.